Data Engineer – Snowflake / DBT

Job summary

Design, develop, and maintain scalable data solutions using Snowflake and dbt. Build and support data pipelines and transformations, ensuring data quality, validation, and performance.

Job details

We are looking for an experienced Data Engineer with strong hands-on expertise in Snowflake and dbt to design, develop, and maintain scalable data solutions. Key Responsibilities & Requirements: Strong hands-on experience with Snowflake and dbt (Data Build Tool). Proficiency in SQL for complex queries, data transformation, validation, and performance optimization. Experience with ETL/ELT pipelines, data integration, and data quality processes. Knowledge of data modeling, data warehousing, and end-to-end data architecture. Ability to collaborate with business and technical teams to deliver reliable data solutions. Python programming experience is an asset. P&C (Property & Casualty) Insurance domain experience is a plus.

What you’ll do

Design, develop, and maintain scalable data solutions using Snowflake and dbt. Build and support data pipelines and transformations, ensuring data quality, validation, and performance.

Requirements

Requires hands-on experience with Snowflake and dbt, strong SQL skills, and experience with ETL/ELT pipelines, data integration, and data quality processes. Knowledge of data modeling, warehousing, and end-to-end data architecture is expected; Python experience and P&C insurance domain knowledge are assets.

Listed skills

• SQL · Preferred
• Data Validation · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Snowflake
• dbt
• SQL
• ETL/ELT Pipelines
• Data Integration
• Data Quality
• Data Modeling
• Data Warehousing
• Data Architecture
• Python
• Performance Optimization
• Data Transformation
• Data Validation
• P&C Insurance

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting

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